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Abstract

A light-scattering signal, which is sensitive to cellular/subcellular structural integrity, is a potential indicator of brain tissue viability because metabolic energy is used in part to maintain the structure of cells. We previously observed a unique triphasic scattering change (TSC) at a certain time after oxygen/glucose deprivation for blood-free rat brains; TSC almost coincided with the cerebral adenosine triphosphate (ATP) depletion. We examine whether such TSC can be observed in the presence of blood in vivo, for which transcranial diffuse reflectance measurement is performed for rat brains during hypoxia induced by nitrogen gas inhalation. At a certain time after hypoxia, diffuse reflectance intensity in the near-infrared region changes in three phases, which is shown by spectroscopic analysis to be due to scattering change in the tissue. During hypoxia, rats are reoxygenated at various time points. When the oxygen supply is started before TSC, all rats survive, whereas no rats survive when the oxygen supply is started after TSC. Survival is probabilistic when the oxygen supply is started during TSC, indicating that the period of TSC can be regarded as a critical time zone for rescuing the brain. The results demonstrate that light scattering signal can be an indicator of brain tissue reversibility.

1.

Introduction

Brain tissue is highly vulnerable to ischemia and hypoxia; after onsets of these events, the brain becomes functionally silent, but there still remains a time period that allows effective treatment to save brain tissue (e.g., blood reperfusion).1 However, there is no established modality to discern this critical time period. Thus, a method for noninvasive, real-time monitoring of tissue viability in the brain has been strongly desired.

Viability of brain tissue relates not only to energy metabolism but also to the structural integrity of cells and organelles in the tissue.1 Thus, light scattering, which is sensitive to morphological changes of cells and organelles,2 can be a potential indicator of tissue viability in the brain. In the near-infrared (NIR) spectral region (650–1000 nm), the reduced scattering coefficient of gray matter is two orders of magnitude larger than the absorption coefficient.3 Thus, the use of light scattering enables sensitive monitoring of tissue viability in brains.

We previously performed simultaneous measurements of light scattering and absorption due to redox changes of cytochrome c oxidase (CcO), which is the terminal electron acceptor in the mitochondrial respiratory chain,4 for blood-free rat brains after oxygen and glucose deprivation.5 We observed a unique triphasic change in light scattering at a certain period of time after starting oxygen and glucose deprivation, after which light scattering remained at a high level. Observation of the tissue by transmission electron microscopy suggested that the increased light scattering after the triphasic scattering change (TSC) is due to deformed or enlarged mitochondria and expanded dendrites. The TSC was preceded by reduction of heme aa3 in CcO, and reduction of CuA in CcO started during the TSC. Direct measurement of cerebral ATP concentration showed a significant decrease in ATP during TSC (i.e., the start of TSC preceded the ATP exhaustion).6 Direct current (DC) potential was also measured for the rat brains, and the measurements suggested that TSC is associated with anoxic depolarization (AD). Because AD accompanies drastic movements of ions across the cellular membrane,
7, 8 cellular/subcellular morphological alterations would occur, resulting in change in the light scattering for the tissue.
8, 9, 10 AD is known to be a critical event related to cell survival; if energy is restored in the early phase of AD, neuronal function can recover, while long-lasting AD causes irreversible tissue damage.
8, 11

In the present study, we first examined whether TSC can be observed in the presence of blood in vivo, for which diffuse reflectance was measured for rat brains during hypoxia induced by nitrogen gas inhalation. The measurements showed that at a certain period of time after starting hypoxia, the diffuse reflectance in the NIR region changed in three phases; the change was similar to that observed for blood-free rat brains after oxygen and glucose deprivation. To verify whether this triphasic reflectance change was due to change in light scattering, we examined the wavelength dependence of the reflectance intensity changes. We also performed an experiment to reoxygenate rat brains after hypoxia at various time points under spontaneous respiration, and the results revealed the dependence of the rat recovery rate on reoxygenation timing in terms of the phases of triphasic reflectance change.

2.

Materials and Methods

All experiments were carried out in accordance with the Guide for Laboratory Animal Facilities and Care Regulation of the National Defense Medical College, Saitama, Japan. Figure 1 shows a diagram of the experimental setup for diffuse reflectance measurement. Sprague-Dawley male rats weighing 200–280 g were anesthetized with pentobarbital sodium (50 mg/kg animal weight) and placed in a stereotactic frame. A pair of 800-μm core-diameter optical fibers with center-to-center separation of 2 mm was placed on the exposed parietal bone of the right hemisphere. The fiber tips were in direct contact with the skull, which was not thinned. As light sources, we employed either a combination of red and green light-emitting diodes (LEDs) and NIR laser diode (LD)
5, 6 or a tungsten lamp (BPS120, B & W Tek, Inc., Newark, Delaware) with a long-wavelength-absorbing filter, which emits broadband light from 400 to 1000 nm; the latter was used for spectral analysis of diffuse reflectances. The irradiation powers of the red LED, green LED, NIR LD, and lamp with a filter were set at 10, 25, 1.8, and 350 μW, respectively.

Fig. 1

Transcranial diffuse reflectance measurements were performed for rat brains during hypoxia that was induced by N2 gas inhalation through a face mask under spontaneous respiration. The body temperature was kept constant at 32.0 ± 0.5°C by using a temperature-controlled body mat. After starting N2 inhalation, heart beat was observed for ~470 s without reoxygenation. Before and during optical measurements, arterial oxygen saturation (SpO2) was monitored with a pulse oximeter (8600V, Nonin Medical, Inc., Plymouth, Minnesota) that was attached to the forelimb, and electroencephalogram (EEG) was recorded using an amplifier (ER-1, Cygnus Technology, Inc., Southport, North Carolina) with steel electrodes screwed in the frontal and parietal bones of the contralateral (left) hemisphere. Pupil diameter was also measured for randomly selected rats to examine the time-dependent change in brain stem function.

Diffuse reflectance intensities were measured with a polychromater (PMA-11, Hamamatsu Photonics K.K., Hamamatsu, Japan) from the visible to NIR spectral region. In the NIR region, light scattering is a dominant attenuation mechanism, and change in light scattering can therefore be monitored by measuring change in reflectance intensity. To confirm this, we assessed wavelength dependence of the reflectance intensity changes in the spectral region from visible to NIR. Time courses of NIR reflectance intensities were measured at 730, 805, and 830 nm; 805 nm is an isosbestic point of oxy-Hb and deoxy-Hb, and 730 and 830 nm lie in the shorter wavelength side and in the longer wavelength side of the isosbestic point, respectively.12 For monitoring absorption signals related to hemodymanics in the brain, diffuse reflectance intensities at 569 nm (R569) and 560 nm (R560) were measured; 569 nm is also an isosbestic point of oxy-Hb and deoxy-Hb,12 and R569 therefore reflects the total hemoglobin (total Hb) concentration. To monitor relative change in deoxy-Hb concentration, R560 was normalized by R569; the absorption coefficient of deoxy-Hb is higher than that of oxy-Hb at 560 nm.12

Monte Carlo simulation was performed to estimate the detectable tissue region with the present fiber configuration, for which optical properties reported in the literature were used.
13, 14 Because optical properties of the skull at wavelengths of <650 nm could not be determined, we used the values obtained by extrapolating published data14 (e.g., μa = 4.5 cm−1, μs = 388 cm−1, and g = 0.91 at 560 nm). The simulation showed that maximum depths of the main measurement regions were ~0.8 mm at 560 nm and ~1.5 mm at 805 nm from the surface of the gray matter (Fig. 2). This suggests that the measured optical signals came from cortical layers I–IV at 560 and 569 nm and cortical layers I–VI at 805 nm.

Fig. 2

Optical paths of (a) diffuse light reflectances at 560 nm and (b) those at 805 nm in cross-sectional views by Monte Carlo simulation. The source and detector fibers were 800 μm in core diameter, and they were separated by 2 mm. The maximum optical penetration depths were calculated to be ~0.8 mm at 560 nm and ~1.5 mm at 805 nm in the gray matter (cerebral cortex).

To examine the recovery rates of rats by reoxygenation after starting hypoxia, inhalation gas was switched from N2 to O2 at different time points under spontaneous respiration. For rats that survived, weight and body movement were recorded for up to two weeks after reoxygenation.

3.

Results and Discussion

Figure 3a shows typical time courses of normalized diffuse reflectance intensities at 730, 805, and 830 nm during hypoxia induced by N2 gas inhalation in a rat; each curve shows the integrated reflectance intensity for the wavelength of interest ±5 nm to increase the signal-to-noise ratio. Immediately after starting N2 inhalation, reflectance intensities at 805 and 830 nm showed a small increase and a gradual decrease and then showed a triphasic change: increase (phase I), decrease (phase II), and increase (phase III) from ~130 to ~210 s; thereafter, they slightly increased by ~500 s and remained at a high level until the end of the measurement (~940 s). Although the level of reflectance intensity at 730 nm was lower, the intensity showed a similar temporal behavior to those at 805 and 830 nm. Time courses of SpO2 and EEG activity that were simultaneously measured with the reflectance intensities are shown in Figs. 3b and 3c, respectively. After starting N2 inhalation, SpO2 rapidly decreased and reached ~20% at ~60 s. Even after this rapid SpO2 decrease, EEG still showed a normal pattern for ~30 s, and it became a flat line pattern at ~50 s, indicating cessation of electrophysiological activity in the brain. SpO2 could not be detected due to a weakened arterial pulse from 210 s after starting N2 gas inhalation. Intrinsic absorption signals related to hemodynamics [i.e., reflectance intensity at 569 nm (R569) and reflectance intensity at 560 nm normalized by that at 569 nm (R569/ R560)] are also shown in Figs. 3d and 3e, respectively; R569 reflects total Hb concentration and R560/R569 indicates relative change in deoxy-Hb concentration. After starting N2 inhalation, R560/R569 showed a rapid decrease (rapid Hb deoxygenation) for ~30 s, after which R569 showed that total Hb concentration [i.e., cerebral blood volume (CBV)], started to increase and then decreased at ~30 s [Fig. 3d]. These CBV changes show reactive hyperemia followed by hypoperfusion.

The wavelength-dependent differences in the NIR reflectance intensity levels [Fig. 3a] are attributable to different absorption levels caused by Hb deoxygenation. Small peaks observed at ~30 s at all wavelengths (730, 805, and 830 nm) are thought to reflect changes in light scattering, because the wavelength dependence of the reflectance intensity changes was small in this period (data not shown). Because this scattering change appeared after the rapid Hb deoxygenation [Fig. 3e] and coincided with the onset of large increase in CBV [Fig. 3d], the scattering change would be caused by cellular/vascular responses to the rapid tissue hypoxia. The triphasic changes in NIR reflectance intensities [Fig. 3a] started ~100 s after the Hb deoxygenation [Fig. 3e] and ~80 s after the cessation of EEG activity [Fig. 3c], and the changes occurred almost synchronously with the CBV decrease (hypoperfusion) after the CBV increase (hyperemia) [Fig. 3d]. After the triphasic reflectance changes, reflectance intensities in the NIR region slightly increased by ~500 s and remained at a high level until the end of the measurement (~940 s). After the triphasic reflectance change, reflectance intensity at 569 nm indicated gradual CBV decrease due to cardiac arrest. The same measurements were performed for 11 other rats, and the characteristics of sequential temporal changes in the NIR reflectance intensities, SpO2, EEG, and hemodynamics-related optical signals were highly reproducible. The starting time of the triphasic reflectance change was 128 ± 14 s, and its duration was 64 ± 10 s. The averaged reflectance changes in the three phases were 0.030 ± 0.0058 (phase I), −0.0079 ± 0.0061 (phase II), and 0.042 ± 0.011 (phase III); after phase III, change in reflectance intensity remained small until the end of the measurements (~940 s). During N2 inhalation, pupil diameters of rats increased almost coincidentally with the triphasic reflectance change (data not shown), indicating that impairment of brain stem function almost coincided with the triphasic reflectance change.

To examine the origin of the triphasic changes in NIR reflectance intensities, we performed spectral analysis of the reflectance intensity changes in phases I, II, and III, shown in Fig. 3a. Figure 4 shows the wavelength dependence of the reflectance intensity change rate in each phase, which was derived by dividing the amount of reflectance intensity change in each phase by the time duration of the phase. The level of reflectance intensity change rate at a specific wavelength reflects the contribution of a chromophore and/or scattering to the temporal reflectance intensity change at the wavelength. The reflectance intensity change rates in the region of 500–600 nm should dominantly reflect change in Hb concentration, while a flat wavelength dependence of the reflectance intensity change rate in the NIR region (650–900 nm) indicates the contribution of light scattering change.
2, 3 In phase I [Fig. 4a], the wavelength dependence was relatively small over the whole spectral region. In phases II and III [Figs. 4b and 4c], the reflectance intensity change rates in the region of 500–600 nm showed large wavelength dependence with two major peaks, reflecting decreased Hb concentrations. In all phases, the wavelength dependence of the reflectance intensity change rates was small in the NIR region, indicating that the triphasic reflectance changes originated from light-scattering change. The wavelength analysis was performed for 11 other rats. In the region of 500–600 nm, we observed some differences in the wavelength dependence of the reflectance intensity change rates between animals. In one rat, the effect of decreased Hb concentration was distinct even in phase I as shown in Figs. 4b and 4c. In three rats, the effect of Hb decrease was small not only in phase I but also in phase II, as shown in Fig. 4a. In some other cases, we observed a single-peaked wavelength dependence in the region of 500–600 nm. These different behaviors indicate different Hb oxygenation/deoxygenation levels between animals during the triphasic NIR reflectance change. Despite these variations observed in the visible spectral region, the wavelength dependence of the reflectance intensity change rates in the NIR region was small in all rats investigated. These results demonstrate that TSC observed in the brains of rat saline-perfusion models is observable also in brains of in vivo rat N2 inhalation models by using NIR light. Hereafter, the triphasic NIR reflectance change observed in the present N2 inhalation model is also referred to as TSC.

Fig. 4

TSCs observed during hypoxia in the present animal model should also be associated with AD,
7, 8 as in our previous blood-free rat brain model during oxygen-glucose deprivation.
5, 6 We speculated in our previous study that the initial scattering increase is due to drastic movements of ions across the cellular membrane accompanied by AD (phase I) and that the subsequent scattering decrease is due to restoration of ions (phase II). Because this process requires much energy,15 Na+/K+ATPase is impaired and consequently movements of ions occur again, causing scattering increase in phase III.
5, 6 On the basis of this speculation, we assumed that cells in the brain can recover if oxygen is restored by phase II due to the preserved ion pump. In phase III and after TSC, on the other hand, oxygen restoration does not work and cells would be irreversible due to membrane failure.

Figure 5 shows recovery (survival) rates of rats that were reoxygenated after hypoxia. Reoxygenation was started at different time points: before, during, and after TSCs. When reoxygenation was started before TSC, all rats survived (n = 8), whereas all rats died (n = 8) when reoxygenation was started after TSC. With reoxygenation started in phases I, II, and III of TSC, survival rates were 43% (n = 14), 10% (n = 10), and 20% (n = 10), respectively. Unexpectedly, there was no apparent phase-dependent tendency in survival rates. The rats that survived did not show any disability of motor function during the two-week follow-up period after reoxygenation.

Fig. 5

Recovery (survival) rates of rats as a function of time span in which oxygen supply was started after hypoxia. Phases I, II, and III correspond to each phase of the TSC.

Figure 6 shows typical time courses of the same signals as those shown in Fig. 3 (except R730 and R830) for a rat that was reoxygenated before TSC. Figure 7 shows typical time courses of signals for a rat that was reoxygenated during TSC and survived, and Fig. 8 shows typical time courses of signals for a rat that was reoxygenated during TSC but died. When reoxygenation was started before TSC (Fig. 6), hemodynamics-related absorption signals showed that CBV increased immediately [Fig. 6b] and hemoglobins were oxygenated within ~30 s [Fig. 6c] after starting oxygen supply. For this rat, R805 did not show a TSC-like change and R805 gradually recovered to its initial level with elapse of time [Fig. 6a]. SpO2 became 100% at ~50 s and EEG activity recovered at ~200 s after starting oxygen supply [Figs. 6d and 6e]. For both rats shown in Figs. 7 and 8, reoxygenation was started during TSC, but one rat survived (Fig. 7) and the other rat died (Fig. 8). For the rat that survived (Fig. 7), R805 showed a scattering increase (phase I) at ~140 s after starting N2 inhalation [Fig. 7a] and then reoxygenation was started in the following phase showing a scattering decrease (phase II). After starting oxygen supply, CBV was restored and hemoglobins were successfully oxygenated [Figs. 7b and 7c], during which time R805 showed a rapid decrease followed by a slight increase and then a further decrease to below the initial level and thereafter R805 recovered toward its initial level [Fig. 7a]. SpO2 and EEG activity also recovered, and the rat survived and functionally recovered. For the rat that died (Fig. 8), R805 showed a TSC after starting oxygen supply and, thereafter, it remained at a high level [Fig. 8a] as shown in Fig. 3a. In this case, neither restoration of CBV nor hemoglobin oxygenation was observed [Figs. 8b and 8c]. SpO2 could not be detected due to weakened arterial pulse and EEG activity was not recovered [Figs. 8d and 8e]. When rats were reoxygenated after TSC, temporal behaviors of signals were similar to those shown in Fig. 8 (data not shown).

Fig. 6

Time courses of (a) normalized diffuse reflectance intensity at 805 nm, (b) that at 569 nm (R569) indicating relative change in total Hb concentration, (c) that at 560 nm (R560) divided by R569, indicating relative change in deoxy-Hb concentration, (d) arterial oxygen saturation and (e) EEG activity. After starting nitrogen gas inhalation at t = 0, oxygen gas supply was started at t = 130 s (dashed lines) before appearance of TSC. Reflectance intensity at 805 nm in (a) did not show a TSC. The rat survived and functionally recovered.

Fig. 7

Time courses of signals shown in Fig. 6. After starting nitrogen gas inhalation at t = 0, the oxygen supply was started during phase II of the TSC expected. After starting oxygen gas supply, reflectance intensity at 805 nm in (a) showed a rapid decrease and then a further decrease to less than the initial level, and thereafter it recovered to its initial level. The rat survived and functionally recovered in this case.

Fig. 8

Time courses of signals shown in Fig. 6. After starting nitrogen gas inhalation at t = 0, oxygen gas supply was started during phase II of the TSC. In spite of the similar situation as that shown in Fig. 7, reflectance intensity at 805 nm showed TSC and the rat did not survive.

In the present hypoxic brain model, for all rats that recovered with reoxygenation, regardless of reoxygenation timing, oxygen restoration to the brain was found to occur successfully and a TSC did not appear. For all rats that did not recover despite reoxygenation, on the other hand, a sign of oxygen restoration to the brain was not found and a TSC appeared. These results demonstrate that rat brains exposed to hypoxia can be saved if oxygen restoration to the brain can be made successfully until the end of TSCs. This is consistent with our speculation that cells in the brain can recover when oxygen is restored by phase II. However, we did not expect that cells in the brain would still be reversible even in phase III.

The questions regarding the results shown in Fig. 5 are why survival rate is probabilistic in all phases of TSC and what determines survival or death of the rats during TSC. Here we provide possible answers to these questions. One factor determining the survival of rats during hypoxia would be associated with functional integrity of vasculatures in the brain when oxygen supply was started. As described above, TSC should reflect AD, and it is known that AD causes passive vascular collapse or vasoconstriction due to vasoconstrictive neurovascular coupling.
16, 17, 18 Under the strong influence of these vascular responses, oxygen restoration to the brain tissue probably fails. Actually, spectral analysis of reflectance intensity changes can reveal the effect of vascular collapse or vasoconstriction; for example, a relatively large reflectance increase in the range of 500–600 nm [Figs. 4b and 4c] may indicate vascular collapse or vasoconstriction. Further study is needed to reveal the influence of neurovascular coupling on survival in the present rat model.

Another factor that should be considered to understand probabilistic survival is a limitation due to local measurement. Because AD is known to be initiated focally and to develop inhomogeneously in the cortex,
19, 20, 21 spatial behaviors of AD waves all over the brain should relate to survival of the rat. However, TSC was observed for a limited region of the brain in the present study, possibly causing an uncertainty to correlate optical signals with survival. Imaging of scattering signals throughout the brain would be useful to reduce this uncertainty. More inherently, oxygen restoration to the brain depends on systemic factors: respiration, circulation and others.22 An important part of our future study will be efforts to determine the correlations between scattering signals from local brain regions and these systemic factors.

Despite the remaining uncertain factors described above, the results of the present study indicate that the time span of TSC can be regarded as the critical time zone for survival of the present animal model; appropriate treatment conducted during TSC can rescue the rats in spite of having undergone severe hypoxic stress. In other words, light-scattering signal can be a good indicator of brain tissue viability. Because scattering signal measurement does not require data processing, the signal can be monitored in real time. Thus, by continuous monitoring of the light-scattering signal, we can know the start of TSC, which can be regarded as an alarm of entering a critical time zone. If we immediately start an intervention (e.g., blood reperfusion) in such a case, then brain tissue can be successfully rescued. After TSC, on the other hand, reperfusion would result in a catastrophic outcome due to intracranial hemorrhage; light-scattering signal may also be used to avoid such an adverse event. One of the ideal situations in which the scattering signal is used would be intraoperative monitoring of tissue viability during blood flow interruption by clamping and reperfusion. Continuous monitoring of the scattering signal would also be useful in critical care medicine. Optical absorption signals related to hemodynamics can also be simply measured in real time. Simultaneous measurements of the scattering and absorption signals, as well as conventional systemic biological signals, can further increase the usefulness of scattering signals.

4.

Conclusions

In the present study, we performed multiwavelength diffuse reflectance measurements for rat brains during hypoxia caused by N2 inhalation under spontaneous respiration and demonstrated that TSC, which was observed in our previous blood-free rat brain model, can be detected even in the presence of blood in vivo by using NIR light. Experiments to reoxygenate rats showed that their recovery rates depended on the timing of oxygen supply: 100% recovery by oxygen supply starting before TSC and 0% recovery by oxygen supply starting after TSC. When oxygen was supplied to rats during TSC, survival was probabilistic and its TSC phase dependence was not clear. For the rats that survived, disability of motor function was not observed. The reason for the probabilistic survival is not clear, but it might be associated with vascular response to anoxic depolarization in the brain and systemic respiratory and circulatory disturbance under the condition of severe hypoxic stress. The time span showing TSC can be regarded as the critical time zone for cardiopulmonary-cerebral resuscitation in the present severe hypoxic model. These findings indicate that the light-scattering signal can be used as an indicator of reversibility of brain tissue, providing useful information on the critical time zone for treatment to rescue the brain exposed to severe hypoxia.

Acknowledgments

The authors gratefully acknowledge the financial support of the Kowa Life Science Foundation. We thank Dr. Hiroaki Kobayashi for technical assistance in surgical procedures in animal experiments.

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Journal of Applied Remote SensingJournal of Astronomical Telescopes Instruments and SystemsJournal of Biomedical OpticsJournal of Electronic ImagingJournal of Medical ImagingJournal of Micro/Nanolithography, MEMS, and MOEMSJournal of NanophotonicsJournal of Photonics for EnergyNeurophotonicsOptical EngineeringSPIE Reviews